- Location
- Tbilisi, EMEA, GE · Limassol, EMEA, CY
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Source
- Teamtailor
Description
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
We are building a Reference Data Management platform and looking for a strong data engineer to help shape it. This is a build role rather than a maintenance one. You will work on top of existing services and gradually turn them into a clean, transparent platform, and your decisions will shape its foundational design.
Responsibilities
Optimize the current platform and turn existing pipelines into transparent, controlled processes
Build new components and data processing pipelines
Develop and maintain self-service tools for developers, analysts, stewards, and domain owners, so that connecting new data no longer depends on engineers
Implement data quality checks and make them available for teams to use and extend
Implement golden record determination mechanisms for reference data
Take part in hiring as the team grows
What makes you the perfect fit
4 to 6 years of experience as a Data Engineer
Strong Python. This is the main language of the platform
SQL fluency, including query profiling and optimization
Deep hands-on experience with at least one batch orchestration tool such as Airflow, Dagster, Prefect, or Kestra
Hands-on experience with dbt
Hands-on experience with data quality tools such as great expectations, soda, or similar
Experience with OLTP and OLAP databases such as Postgres and ClickHouse
Experience with data lake or lakehouse and time travel
We care about depth more than the exact tool. If your strongest experience is with something close to the tools above, you will pick up ours quickly.
Will be a plus
Experience owning a key component of a mature data platform
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.